For Working QA Professionals
Designed for QA Engineers, Automation Engineers, SDETs, QA Leads and Test Architects.
LIVE AI TRAINING FOR QA PROFESSIONALS
Hands-On AI Training
Hands-On AI Training
for SDETs
Live, hands-on AI training that helps QA professionals build practical skills they can apply at work.
1
Month
30 hrs
Live training
12
Sessions
50
Hands-On Labs
AI-Ready SDET Training
Our flagship live program for QA, automation engineers and
SDETs.
Featured Program
AI-Ready SDET Training — Hands-On AI for Modern Test Engineering
Learn how to use AI in real QA engineering through a live, hands-on program built to increase QE productivity. Learn by doing 50 Hands-On Labs across AI-assisted testing, automation, agents, MCP, APIs, databases, CI/CD, n8n and RAG.
Practical AI Skills
Focus on the QA and engineering problems you need to solve—not AI theory alone.
Real QA Use Cases
Build workflows and solutions you can adapt to your own projects.
Free Live Webinar
2027 QA Interview Webinar
5 AI Interview Questions
2027. Your Next QA Interview.
Discover what interviewers will expect QA professionals to understand, apply and confidently explain about AI.
27 Sep11:00 AM IST
29 Sep8:00 PM IST
2 hrsLive webinar
FreeRegistration
Free Live Webinar
QA AI Agent Webinar
Build an AI QA Agent
Build an AI QA Agent for Jira Test Case Generation.
Watch an agent retrieve a Jira requirement through Atlassian MCP, generate test cases and add them back to Jira.
30 Sep8:00 PM IST
2 hrsLive webinar
AgentJira workflow
FreeRegistration
Why Learn AI Now
AI is changing how QA teams work.
AI is changing how requirements are analyzed, tests are designed, automation is built, failures are investigated and releases are delivered. Teams are increasingly expected to use AI to deliver faster and improve productivity.
Deliver Faster
Use AI to reduce repetitive work and speed up common QA engineering activities.
Increase QE Productivity
Apply AI to requirements, test design, automation, debugging and engineering workflows.
Keep Your Skills Current
As QA roles and expectations evolve, practical AI skills are becoming increasingly important.
What QA Professionals Need
Learn how to use AI in real QA engineering.
The goal is not just to learn prompts. Build practical skills that help you work faster, automate more intelligently and use AI effectively in day-to-day Quality Engineering.
Use AI for Testing
Apply AI to requirements, test design, test data, reporting and coverage analysis.
Use AI for Automation
Work with Playwright, Selenium, APIs, databases, debugging and CI/CD.
Build AI-Powered Workflows
Use agents, MCP, n8n and RAG to connect AI with real engineering work.
How Orange Days Helps
Learn by doing.
Live instruction, trainer demonstrations and Hands-On Labs help you turn concepts into practical skills you can apply at work.
01
Learn the Concept
Learn the practical basics needed to understand and solve the QA problem.
02
Watch the Trainer Demo
See the trainer apply the concept to a real QA engineering scenario.
03
Complete the Hands-On Lab
Apply what you learned by solving a related practical problem yourself.
04
Review and Improve
If you cannot solve a lab, the trainer will explain the approach, guide you through the problem and help you understand how to reach the solution.
Hands-On Labs
Build practical AI-powered QA solutions.
Here are some of the real tasks participants will work on during the program.
01Build an End-to-End Jira-to-GitHub QA WorkflowRetrieve requirement → analyze → generate tests → automate →
review → commit.02Build a Collaborative Multi-Agent QA TeamCreate specialized AI agents that collaborate to complete an
end-to-end testing task.03Generate a New Playwright Test Inside an Existing
FrameworkCreate automation that follows existing Page Objects, fixtures,
utilities and coding standards.
Technologies you'll work with
GitHub CopilotClaude CodeMCPPlaywrightSeleniumn8n
Your Trainer
Learn from an experienced QA, automation and engineering leader.
Trainer Profile
RR
Ramanathan Rajamanthiram (Raj)
Quality Engineering · Automation Architecture · AI-Assisted Test Engineering
24+Years industry experience
15+Years hiring experience
100sTechnical interviews
5Leading organizations
Raj brings more than 24 years of experience across software development, testing, automation architecture, Quality Engineering and delivery.
His career includes Yahoo, IBM, Zycus, Cognizant and ZeOmega. He combines the perspective of a hands-on practitioner, engineering leader, interviewer and trainer.
In AI-Ready SDET Training, he connects AI concepts with practical QA problems, demonstrates workable approaches and guides participants as they build and improve their own solutions.
View LinkedIn ProfileKey Takeaway
Move from using AI tools to applying AI confidently across real QA work.
By the end of AI-Ready SDET Training, you will have practical experience applying AI across testing, automation, workflows and agents—not just an understanding of isolated tools or prompts.
You will leave with reusable approaches, completed hands-on work and a clearer direction for applying these skills in your current role and future opportunities.
Program Registration
Register your interest in AI-Ready SDET Training.
After registration, you will be invited to an introductory seminar to discuss the program details and starting dates.
1 monthProgram12Live sessions30 hrsLive training50Hands-On Labs
AI & QA Blog
Articles on AI and Quality Engineering.
Simple guides that help QA professionals build strong AI foundations.
If AI Can Test… Where Do Testers Fit?
AI can already generate tests and automation. Discover which QA activities are changing and what will remain valuable.
Read articleAI Is Not a Search Engine
Learn why fluent AI answers can still be incomplete, outdated or incorrect—and how to verify them.
Read articleAre You Wasting Tokens? 8 Smarter Ways to Use AI Efficiently
Learn how to give AI focused context, reduce unnecessary usage and preserve the information needed for reliable QA results.
Read article
COMMUNITY INITIATIVE
Future-Ready QA - Share Your Perspective
How should QA professionals prepare for the challenges posed by AI? Share how QA may evolve over the next two years and what professionals should learn, practise and strengthen.
Your experience can help the QA community prepare and move forward together.
Submit Your Paper
LEARN FROM THE COMMUNITY
Future-Ready QA - Explore Community Perspectives
Learn from selected perspectives shared by experienced professionals. Discover how others expect QA to evolve and the practical steps they recommend for becoming future-ready.
View Published PapersCOMING SOON
Selected community perspectives will appear here soon.
Share this initiative so more QA professionals can contribute, learn and evolve together.